xlm-roberta-fiqhqa-classifier-tuned – AI Model by mhdafifan | AlphaNeural AI

You can deploy this model and start earning money today!

mhdafifan/
xlm-roberta-fiqhqa-classifier-tuned

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

text-embeddings-inference

endpoints_compatible

Views

No views yet

xlm-roberta-fiqhqa-classifier-tuned

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the FiqhQA dataset. It achieves the following results on the evaluation set:

Loss: 0.5206
Accuracy: 0.8957
F1 Macro: 0.8766

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
1.5856	1.0	57	1.5080	0.4609	0.1052
1.5882	2.0	114	1.3746	0.5391	0.2109
1.1229	3.0	171	0.7869	0.7391	0.5417
0.7207	4.0	228	0.5476	0.8174	0.6756
0.4149	5.0	285	0.4908	0.8261	0.6799
0.2939	6.0	342	0.4591	0.8783	0.8574
0.2477	7.0	399	0.5021	0.8870	0.8701
0.1317	8.0	456	0.5143	0.9043	0.8835
0.1461	9.0	513	0.5335	0.8870	0.8723
0.1445	10.0	570	0.5206	0.8957	0.8766

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1